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mechanisms driving immune dysfunction. The PhD candidate will work closely with computational and experimental researchers and receive training in neuroimmunology, neurodegenerative disease research, and
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assays to assess nuclease activity, stability, and specificity; maintain plasmid libraries, strain collections, and detailed experimental records; collaborate with researchers across WUR and contribute
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an open, diverse and inspiring environment to engage in multidisciplinary mechanobiology research at the intersection of biology, chemistry and physics, and is expected to participate in GreenTE events
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with one or more of the following is a plus: knowledge graphs or symbolic reasoning systems; dialogue systems or conversational AI; behavioural modelling; experimental design and user studies; AI
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required for the full GS&O service of traditional large scientific missions, such as the LUMOS and Máni missions or the PROSPECT lunar payload, leveraging on the experimental laboratory facilities available
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investigate the key parameters influencing the growth process, with a primary focus on anisotropic matrix organization. While this project is entirely computational in nature, you will collaborate closely with
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Engineering, Chemical Engineering, Applied Physics, or a related field. A strong foundation in (multiphase) fluid dynamics. Proven experience with experimental work and a drive to explore and improve state
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convergence of these models and integration within the simulation environment of Apollo is required to ensure the robustness of the tire prototyping process. Final goal The project aims to develop a
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experience with quantitative data collection (survey research, lab and natural experimental research are parts of this project); openness and willingness to collaborate with people from other scientific
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of toxins using portable mass spectrometry, which will be demonstrated in pilot studies together with the project stakeholders. You will be expected to develop research questions, experimental approaches and